Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A computer-implemented method for generating or updating a usage-based insurance policy for one or more autonomous or semi-autonomous vehicles, the method comprising: determining, by the one or more processors, an identity of a vehicle operator based upon sensor data from one or more sensors disposed within an autonomous or semi-autonomous vehicle; accessing, by the one or more processors, a vehicle operator profile associated with the identified vehicle operator, wherein the vehicle operator profile includes information regarding use of a plurality of autonomous operation features that autonomously or semi-autonomously perform aspects of vehicle control by the vehicle operator during prior vehicle operation; determining, by the one or more processors, a risk level associated with operation of the autonomous or semi-autonomous vehicle based on information regarding intended vehicle usage, environmental conditions in which the vehicle is likely to be operating including at least foreseeable weather conditions, and settings of the plurality of autonomous operation features by the vehicle operator based on the vehicle operator profile; determining, by the one or more processors, the cost of an insurance policy based upon the determined risk level; presenting, by the one or more processors, to the vehicle operator, the determined cost of an insurance policy for the intended vehicle usage, the foreseeable weather conditions, and the settings of the plurality of autonomous operation features; receiving, by the one or more processors, acceptance of the insurance policy by the vehicle operator; causing, by the one or more processors, the insurance policy to be issued to the vehicle operator; monitoring, by the one or more processors, the settings of the plurality of autonomous operation features and current environmental conditions including at least current weather conditions during the use of the autonomous or semi-autonomous vehicle by the vehicle operator; determining, by the one or more processors, a changed risk level based upon the settings of the autonomous operation features, and changed current environmental conditions, including at least changed current weather conditions compared to the foreseeable weather conditions; determining, by the one or more processors, the changed risk level exceeds a threshold level of risk; presenting to the vehicle operator, by the one or more processors, one or more options to select a lower-cost insurance policy for an operating mode with different settings for the plurality of autonomous operation features associated with a lower risk level under the changed current weather conditions; receiving, by the one or more processors, a selection by the vehicle operator to accept one of the one or more options for a lower-cost insurance policy, wherein the selection causes an on-board computer of the autonomous or semi-autonomous vehicle to automatically adjust the settings of the plurality of autonomous operation features to implement the operating mode associated with the different settings and the lower risk level under the changed current weather conditions; and adjusting, by the one or more processors, the cost of the insurance policy based upon the selection by the vehicle operator.
2. The computer-implemented method of claim 1 , wherein the information regarding intended vehicle usage includes information regarding frequency of prior use of the autonomous or semi-autonomous vehicle.
3. The computer-implemented method of claim 1 , wherein the intended vehicle usage comprises at least one of in distance or duration of vehicle operation.
This invention relates to a computer-implemented method for determining and optimizing vehicle usage parameters, specifically focusing on distance or duration of vehicle operation. The method addresses the challenge of efficiently managing vehicle resources by analyzing usage patterns to predict and optimize operational metrics. The system collects vehicle data, including operational parameters such as distance traveled or time in use, and processes this data to generate insights. These insights are then used to adjust vehicle operations, such as scheduling maintenance, optimizing fuel consumption, or improving fleet management. The method may also incorporate machine learning to refine predictions over time, ensuring accurate and adaptive usage monitoring. By focusing on distance or duration, the system helps prevent overuse, reduces downtime, and enhances overall vehicle efficiency. The invention is particularly useful in fleet management, autonomous vehicle operations, and shared mobility services where precise usage tracking is critical. The method ensures that vehicles operate within optimal parameters, extending their lifespan and reducing costs.
4. The computer-implemented method of claim 3 , wherein the cost of the insurance policy is further based upon one or more of the following: a route of operation, a time of day of operation, a duration of a vehicle trip, a distance of a vehicle trip, weather conditions, traffic conditions, or geographic location of a vehicle trip.
5. The computer-implemented method of claim 3 , wherein the cost of the insurance policy is further based upon versions of the autonomous operation features of the autonomous or semi-autonomous vehicle.
6. The computer-implemented method of claim 1 , wherein the information regarding intended vehicle usage includes a route of operation of the autonomous or semi-autonomous vehicle.
7. A computer system for generating or updating a usage-based insurance policy for one or more autonomous or semi-autonomous vehicles, comprising: one or more processors; a program memory coupled to the one or more processors and storing executable instructions that when executed by the one or more processors cause the computer system to: determine an identity of a vehicle operator based upon sensor data from one or more sensors disposed within an autonomous or semi-autonomous vehicle; access a vehicle operator profile associated with the identified vehicle operator, wherein the vehicle operator profile includes information regarding use of a plurality of autonomous operation features that autonomously or semi-autonomously perform aspects of vehicle control by the vehicle operator during prior vehicle operation; determine a risk level associated with operation of the autonomous or semi-autonomous vehicle based on information regarding intended vehicle usage, environmental conditions in which the vehicle is likely to be operating including at least foreseeable weather conditions, and settings of the plurality of autonomous operation features by the vehicle operator based on the vehicle operator profile; determine the cost of an insurance policy based upon the determined risk level; present to the vehicle operator, the determined cost of an insurance policy for the intended vehicle usage, the foreseeable weather conditions, and the settings of the plurality of autonomous operation features; receive acceptance of the insurance policy by the vehicle operator; cause the insurance policy to be issued to the vehicle operator; monitor the settings of the plurality of autonomous operation features and current semi-autonomous vehicle by the vehicle operator; determine a changed risk level based upon the settings of the autonomous operation features, and changed current environmental conditions, including at least changed current weather conditions compared to the foreseeable weather conditions; determine the changed risk level exceeds a threshold level of risk; present to the vehicle operator one or more options to select a lower-cost insurance policy for an operating mode with different settings for the plurality of autonomous operation features associated with a lower risk level under the changed current weather conditions; receive a selection by the vehicle operator to accept one of the one or more options for a lower-cost insurance policy, wherein the selection causes an on-board computer of the autonomous or semiautonomous vehicle to automatically adjust the settings of the plurality of autonomous operation features to implement the operating mode associated with the different settings and the lower risk level under the changed current weather conditions; and adjust the cost of the insurance policy based upon the selection by the vehicle operator.
8. The computer system of claim 7 , wherein the information regarding intended vehicle usage includes information regarding frequency of prior use of the autonomous or semi-autonomous vehicle.
9. The computer system of claim 7 , wherein the intended vehicle usage comprises at least one of distance or duration of vehicle operation.
10. The computer system of claim 9 , wherein the cost of the insurance policy is further based upon one or more of the following: a route of operation, a time of day of operation, a duration of a vehicle trip, a distance of a vehicle trip, weather conditions, traffic conditions, or geographic location of a vehicle trip.
11. The computer system of claim 9 , wherein the cost of the insurance policy is further based upon versions of the autonomous operation features of the autonomous or semi-autonomous vehicle.
12. A tangible, non-transitory computer-readable medium storing instructions for generating or updating a usage-based insurance policy for one or more autonomous or semi-autonomous vehicles that, when executed by at least one processor of a computer system, cause the computer system to: determine an identity of a vehicle operator based upon sensor data from one or more sensors disposed within an autonomous or semi-autonomous vehicle; access a vehicle operator profile associated with the identified vehicle operator, wherein the vehicle operator profile includes information regarding use of a plurality of autonomous operation features that autonomously or semi-autonomously perform aspects of vehicle control by the vehicle operator during prior vehicle operation; determine a risk level associated with operation of the autonomous or semi-autonomous vehicle based on information regarding intended vehicle usage, environmental conditions in which the vehicle is likely to be operating including at least foreseeable weather conditions, and settings of the plurality of autonomous operation features by the vehicle operator based on the vehicle operator profile; determine the cost of an insurance policy based upon the determined risk level; present to the vehicle operator, the determined cost of an insurance policy for the intended vehicle usage, the foreseeable weather conditions, and the settings of the plurality of autonomous operation features; receive acceptance of the insurance policy by the vehicle operator; cause the insurance policy to be issued to the vehicle operator; monitor the settings of the plurality of autonomous operation features and current environmental conditions including at least current weather conditions during use of the autonomous or semi-autonomous vehicle by the vehicle operator; determine a changed risk level based upon the settings of the autonomous operation features, and changed current environmental conditions, including at least changed current weather conditions compared to the foreseeable weather conditions; determine the changed risk level exceeds a threshold level of risk; present to the vehicle operator one or more options to select a lower-cost insurance policy for an operating mode with different settings for the plurality of autonomous operation features associated with a lower risk level under the changed current weather conditions; receive a selection by the vehicle operator to accept one of the one or more options for a lower-cost insurance policy, wherein the selection causes an on-board computer of the autonomous or semi-autonomous vehicle to automatically adjust the settings of the plurality of autonomous operation features to implement the operating mode associated with the different settings and the lower risk level under the changed current weather conditions; and adjust the cost of the insurance policy based upon the selection by the vehicle operator.
13. The tangible, non-transitory computer-readable medium of claim 12 , wherein the information regarding intended vehicle usage includes information regarding frequency of prior use of the autonomous or semi-autonomous vehicle.
Autonomous and semi-autonomous vehicles require adaptive systems to optimize performance based on usage patterns. A computer-readable medium stores instructions for a system that analyzes intended vehicle usage, including frequency of prior use, to adjust operational parameters. The system collects data on how often the vehicle is used, such as daily, weekly, or occasional trips, and applies this information to improve efficiency, safety, and user experience. For example, frequent use may trigger more aggressive battery management or predictive maintenance, while infrequent use may prioritize system diagnostics or software updates. The system may also integrate additional usage factors, such as typical travel routes or environmental conditions, to further refine adjustments. By leveraging historical usage data, the vehicle can proactively adapt to user habits, reducing downtime and enhancing reliability. This approach ensures the vehicle operates optimally for its specific usage profile, balancing performance and longevity. The system may be part of a broader vehicle management platform that includes real-time monitoring and predictive analytics to support autonomous driving functions.
14. The tangible, non-transitory computer-readable medium of claim 12 , wherein intended vehicle usage comprises at least one of distance or duration of vehicle operation.
15. The tangible, non-transitory computer-readable medium of claim 14 , wherein the cost of the insurance policy is further based upon one or more of the following: a route of operation, a time of day of operation, a duration of a vehicle trip, a distance of a vehicle trip, weather conditions, traffic conditions, or geographic location of a vehicle trip.
16. The tangible, non-transitory computer-readable medium of claim 14 , wherein the cost of the insurance policy is further based upon versions of the autonomous operation features of the autonomous or semi-autonomous vehicle.
17. The tangible, non-transitory computer-readable medium of claim 12 , wherein the information regarding intended vehicle usage includes a route of operation of the autonomous or semi-autonomous vehicle.
Unknown
February 9, 2021
Browse 5M+ US patents with plain-English claim translations and AI-generated analysis.